doi:10.1093/biostatistics/kxac041>, the Biswas & Kalbfleisch (2008) <doi:10.1002/sim.3216> CUSUM, the Bernoulli CUSUM and the risk-adjusted funnel plot for survival data <doi:10.1002/sim.1970>. These procedures can be used to monitor survival processes for a change in the failure rate.">

success: Survival Control Charts Estimation Software (original) (raw)

Quality control charts for survival outcomes. Allows users to construct the Continuous Time Generalized Rapid Response CUSUM (CGR-CUSUM) <doi:10.1093/biostatistics/kxac041>, the Biswas & Kalbfleisch (2008) <doi:10.1002/sim.3216> CUSUM, the Bernoulli CUSUM and the risk-adjusted funnel plot for survival data <doi:10.1002/sim.1970>. These procedures can be used to monitor survival processes for a change in the failure rate.

Version: 1.1.0
Depends: ggplot2, pbapply, plotly, Rfast, R (≥ 3.5.0)
Imports: survival, ggrepel, Matrix, matrixcalc
Suggests: gridExtra, knitr, rmarkdown, testthat (≥ 3.1.10), covr
Published: 2024-06-19
DOI: 10.32614/CRAN.package.success
Author: Daniel Gomon ORCID iD [aut, cre], Mirko Signorelli ORCID iD [ctb]
Maintainer: Daniel Gomon
License: GPL (≥ 3)
URL: https://github.com/d-gomon/success
NeedsCompilation: yes
Citation: success citation info
Materials: README NEWS
CRAN checks: success results

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